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    Is it the time to rethink clinical decision-making strategies? From a single clinical outcome evaluation to a Clinical Multi-criteria Decision Assessment (CMDA)

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    There are plenty of different clinical, organizational and economic parameters to consider in order having a complete assessment of the total impact of a pharmaceutical treatment. In the attempt to follow, a holistic approach aimed to provide an evaluation embracing all clinical parameters in order to choose the best treatments, it is necessary to compare and weight multiple criteria. Therefore, a change is required: we need to move from a decision-making context based on the assessment of one single criteria towards a transparent and systematic framework enabling decision makers to assess all relevant parameters simultaneously in order to choose the best treatment to use. In order to apply the MCDA methodology to clinical decision making the best pharmaceutical treatment (or medical devices) to use to treat a specific pathology, we suggest a specific application of the Multiple Criteria Decision Analysis for the purpose, like a Clinical Multi-criteria Decision Assessment CMDA. In CMDA, results from both meta-analysis and observational studies are used by a clinical consensus after attributing weights to specific domains and related parameters. The decision will result from a related comparison of all consequences (i.e., efficacy, safety, adherence, administration route) existing behind the choice to use a specific pharmacological treatment. The match will yield a score (in absolute value) that link each parameter with a specific intervention, and then a final score for each treatment. The higher is the final score; the most appropriate is the intervention to treat disease considering all criteria (domain an parameters). The results will allow the physician to evaluate the best clinical treatment for his patients considering at the same time all relevant criteria such as clinical effectiveness for all parameters and administration route. The use of CMDA model will yield a clear and complete indication of the best pharmaceutical treatment to use for patients, helping physicians to choose drugs with a complete set of information, imputed in the model

    Differences in biologics for treating ankylosing spondylitis: The contribution of network meta-analysis

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    OBJECTIVE: Ankylosing Spondylitis (AS) is a chronic form of arthritis of unknown origin affecting the spine. In this study, we aimed to identify clinical and safety profiles of adalimumab, certolizumab pegol, etanercept, golimumab, infliximab, and secukinumab that are biologic agents (biologics) mainly used for the treatment of AS, and to understand differences between them. MATERIALS AND METHODS: An extensive literature research was performed in MEDLINE and EMBASE in order to identify all network meta- analysis (NMA) and/or mixed treatment comparison (MTC) papers. NMA and/or MTC, with a ranking of the effectiveness of biologics in AS, were included in the analysis, and the adhesion to ISPOR guidelines was investigated. RESULTS: 60 studies were identified; after applying exclusion criteria methods, 7 studies underwent further analysis. Infliximab was the drug that exhibited the highest probability for achieving clinical efficacy by ASAS20 at 12 and 24 weeks. Considering only subcutaneous biologics, Golimumab achieved the highest probability for achieving the ASAS20 response at 12 weeks. CONCLUSIONS: Results from NMA on the use of biologics in AS indicates infliximab emerged as the drug with the highest probability of obtaining ASAS20 response both at 12 and 24 weeks of treatment
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